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Machine Learning - Research Engineer - Python, Statistic Analysis
- United States
- United States
À propos
creative problem-solving ,
open communication , and
empowering our employees
to make decisions and put forth new ideas.
Our staff includes technical experts working across multiple disciplines, bringing diverse perspectives to every project. We are seeking engineers who wish to grow their careers and want to become part of a
technically strong
and
growth-oriented
company focused on bringing
innovative solutions
to the difficult mission problems facing our customers.
Description We're seeking a Research Engineer to bridge the critical gap between cutting-edge ML research and production-ready solutions. You'll transform research prototypes into robust, deployable systems that end users can confidently put into production. This role uniquely combines software engineering, DevOps practices, and ML solution delivery. Develop evaluation methodologies and experimental designs for assessing model and agent performance, including capability, reliability, and limitation analyses. Conduct reviews of current state-of-the-art AI/ML evaluation methods and emerging techniques to inform approach selection. Define and document evaluation criteria, success metrics, and assessment rationale in partnership with the Data Scientists. Assess candidate models and agentic systems and produce written technical findings and recommendations. Author technical reports, evaluation plans, and decision-support documentation for stakeholders. Clearance A current Top-Secret/SCI with polygraph security clearance is required. Candidates cannot be sponsored or nominated for a government security clearance under this position.
Experience Six years' experience and a Bachelor's degree in Engineering, Computer Science or other Science, Technology, Engineering or Mathematics (STEM) field or four years' experience and a Master's degree or zero years' experience and a PhD.
Required skills:
Python FastAPI JavaScript / TypeScript React Docker Kubernetes Git CI/CD tools REST APIs MongoDB Cloud platforms or deployment environments Testing frameworks Collaboration tools like Jira or Confluence Benefits Erias Ventures provides a complete package of wealth, health, and happiness benefits. The expected salary range for this position, depending on education and years of experience is $210,000 - $230,000.
Wealth Benefits:
Above Market Hourly Pay 11% Roth
or
Traditional 401k
with Immediate Vesting and Deposit Spot Bonuses
for Assisting with Business Development and Company Growth Professional Development Bonuses
for Certificates and Degrees Health Benefits:
Company subsidized
Medical
Coverage 100%
Company Paid
Vision
and
Dental
Coverage 100%
Company Paid
Long Term Disability ,
Short Term Disability , and
Group Life Insurance Monthly
Wellness Reimbursement Happiness Benefits:
Paid Time Off
with
Flexible Work
Schedules and
Birthday Off Amazon Prime Membership
andMonthly
Internet
Reimbursement Technology
and
Productivity Allowance
for Equipment and Supplies Morale Building
and
Company Events
to Celebrate our Successes and Build our Community Onboarding and Annual
Swag Company Paid Professional Development
and
Training At Erias Ventures, we are dedicated to fostering a diverse and inclusive workplace. As an equal opportunity employer, we ensure that all qualified applicants are considered for employment based on merit, without discrimination. We welcome individuals regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Referrals & Inquiries Do you know a cleared professional seeking to advance their career? Interested in earning some extra cash? If so, refer them to us with their name and contact details, and you could be eligible for a referral bonus of up to
$10,000
for each successful hire.
Not seeing the right position right now? Reach out to us, and we'll notify you as new contracts and opportunities become available!
Please send referrals and inquiries to: jobs@eriasventures.com
To learn more about our company visit our webpage or LinkedIn.
Compétences linguistiques
- English
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